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  • 1. Approximations to b* in the prediction of design effects due to clustering Archived
    Articles and reports: 12-001-X20050018093
    Description:

    Kish's well-known expression for the design effect due to clustering is often used to inform sample design, using an approximation such as b_bar in place of b. If the design involves either weighting or variation in cluster sample sizes, this can be a poor approximation. In this article we discuss the sensitivity of the approximation to departures from the implicit assumptions and propose an alternative approximation.

    Release date: 2005-07-21
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  • 1. Approximations to b* in the prediction of design effects due to clustering Archived
    Articles and reports: 12-001-X20050018093
    Description:

    Kish's well-known expression for the design effect due to clustering is often used to inform sample design, using an approximation such as b_bar in place of b. If the design involves either weighting or variation in cluster sample sizes, this can be a poor approximation. In this article we discuss the sensitivity of the approximation to departures from the implicit assumptions and propose an alternative approximation.

    Release date: 2005-07-21
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